Robotic process selection and configuration

Abstract

A system for selection and configuration of a robotic process includes a data input module to receive a stream of inputs relating to a user engaged in a task of interest, an input analysis module to analyze the stream of inputs and provide a series of timestamped actions and associated action parameters, and a component selection module to select a component of an AI solution for use in an automated robotic process, based on, at least in part, an action of the series of actions, the associated action parameters, or the components ability to simulate one or more of the actions in the series of actions.

What is claimed is: 
     
       1. A system for selection and configuration of a robotic process, the system comprising:
 a set of processors; and 
 a non-transitory computer-readable medium storing a set of instructions that, when executed, cause the set of processors to:
 receive, by a data input module in the set of processors, stream of inputs relating to a user engaged in a task of interest; 
 analyze, by an input analysis module in the set of processors, the stream of inputs and provide a series of actions and associated action parameters, each action in the series of actions being timestamped; and 
 select, by a component selection module in the set of processors, a component of an AI solution for use in an automated robotic process, the selection being based on, at least in part, at least one of an action of the series of actions and the associated action parameters, the component of the AI solution being selected based on, at least in part, its ability to simulate one or more of the actions in the series of actions, the selecting the component of the AI solution being based, at least in part on:
 identifying an active area of a neocortex of the user; and 
 identifying a set of spatial-temporal neocortical activity patterns of the user, types of the spatial-temporal neocortical activity patterns comprising at least one of: visual processing, inductive reasoning, audio processing, olfactory processing, muscle control, looking, listening, smelling, motion activity, listening to sound of equipment, or watching another negotiator, 
 wherein the component of the AI solution corresponds to the set of spatial-temporal neocortical activity patterns of the user. 
 
 
 
     
     
       2. The system of  claim 1 , wherein:
 the instructions further include causing the component selection module to select a second component of the AI solution based on a second action of the series of actions; and 
 the component of the AI solution and the second component of the AI solution occur at different locations. 
 
     
     
       3. The system of  claim 2 , wherein at least one of the component or the second component comprises a neural network with multiple layers operating in a cloud environment. 
     
     
       4. The system of  claim 1 , wherein each component is at least one of a specific model, an expert system, a neural network, or an algorithm.